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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20494
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    INDEX
    Explanations

    technical terms related to digital content, possibly including potential errors

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Int" which appears to indicate technical jargon or programming concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģ¦
    -0.75
    jriwal
    -0.71
    yards
    -0.71
     Gleaming
    -0.69
    llah
    -0.68
    theless
    -0.67
    ¶ħ
    -0.65
     Confederacy
    -0.64
    EMENT
    -0.64
     compr
    -0.63
    POSITIVE LOGITS
    uitive
    1.37
    ensity
    1.36
    ention
    1.32
    ensive
    1.29
    ellect
    1.29
    estinal
    1.25
    elligence
    1.15
    ellig
    1.04
    ENTION
    1.01
    rast
    1.01
    Activations Density 0.023%

    No Known Activations